Novel emotion engine for robot and its parameter tuning by bacterial foraging

In this paper, we propose the novel emotional engine like human´s emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural networks to classify emotion by using speech and face image data for human´s emotion recognition. But high-dimension and large size of this data cause low-speed learning of neural network. The main idea of the proposed method is to suggest emotion engine and to express emotion by hybrid system composed of bacterial foraging and multi-agent system. Experimental result shows that this method can achieve better performance for human´s emotion recognition than others and express emotion.